Healthcare and Life Sciences Agents Toolkit is an AWS library of domain-specific AI capabilities for healthcare and life sciences workflows, including reference agents, reusable skills, and MCP tools. Builders, researchers, clinicians, scientists, and platform teams use it for tasks such as drug research, clinical trials, genomics, and commercialization. The catalogue add-ons expose parts of the toolkit as portable skills and MCP tools for coding assistants and other platforms.
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate…
Use when a researcher needs to query biomedical databases for biomarker discovery, build target profiles from UniProt/Open Targets/STRING, rank biomarker candidates by evidence strength, or generate SQL queries against clinical genomic databases.
Use when orchestrating a multi-agent biomarker discovery workflow that requires coordinating database queries, pathway analysis, literature review, statistical modeling, and clinical evidence synthesis to produce ranked biomarker panels.
Use when a researcher needs to analyze biological pathways for biomarker discovery, map disease mechanisms to druggable targets using Reactome/KEGG, identify pathway enrichment from gene sets, or understand mechanism-of-action for candidate biomarkers.
Use when drafting clinical trial protocol sections (objectives, background, study design) grounded in ICH guidelines (E6, E8, E9) and FDA regulations (21 CFR Part 312). Generates IRB-ready protocol documents from grant documents or study synopses.
Use when interpreting genomic variants from VCF files, performing clinical variant classification using ClinVar/VEP annotations, analyzing allele frequencies against population data (1000 Genomes), or generating clinical reports for genetic counseling.
Use when a developer wants to build a new healthcare or life sciences agent, structure tools and system prompts for an HCLS workflow, or create a Strands agent with domain-specific capabilities. Also use when someone asks about agent architecture, tool design, or system prompt patterns for clinical, genomics, or drug…
Use when a developer wants to deploy an HCLS agent to Amazon Bedrock AgentCore, configure Gateway tools as MCP endpoints, set up authentication with Cognito, configure memory, or register an agent in the AgentCore Registry. Also use for deployment troubleshooting.
Use when a developer asks how to get started building healthcare or life sciences agents, wants to understand the HCLS Agents Toolkit, or asks what's available in this repository. Also use when someone asks about genomics, drug discovery, clinical trials, or biomarker agents on AWS.
Use when querying biomedical databases (UniProt, ClinVar, gnomAD, PDB, Reactome, Open Targets, etc.) via the Biomni AgentCore Gateway MCP server. Covers protein lookup, variant interpretation, pathway analysis, drug-target associations, and genomic annotation queries. Use when user asks to find protein info, check…
Use when a developer needs to conduct systematic literature searches, find research papers, extract content from publications, or build evidence summaries from biomedical databases and web sources via the Biomni Research Tools MCP server.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: